A support vector regression model to predict nitrate-nitrogen isotopic composition using hydro-chemical variables

Completing the machine learning saga in fractional snow cover estimation from MODIS Terra reflectance data: Random forests versus support vector regression

(2021) Semih Kuter   REMOTE SENSING OF ENVIRONMENT

Artificial intelligence models versus empirical equations for modeling monthly reference evapotranspiration

(2020) Yazid Tikhamarine et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Suspended sediment load prediction using artificial neural network and ant lion optimization algorithm

(2020) Fatemeh Barzegari Banadkooki et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Long-term rainfall prediction using atmospheric synoptic patterns in semi-arid climates with statistical and machine learning methods

(2020) Javier Diez-Sierra et al.   JOURNAL OF HYDROLOGY

Riverine nitrate source apportionment using dual stable isotopes in a drinking water source watershed of southeast China

(2020) Xu Shang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Assessing the biochemical oxygen demand using neural networks and ensemble tree approaches in South Korea

(2020) Sungwon Kim et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Prediction of organic potato yield using tillage systems and soil properties by artificial neural network (ANN) and multiple linear regressions (MLR)

(2019) Khaoula Abrougui et al.   SOIL & TILLAGE RESEARCH

Machine learning methods for better water quality prediction

(2019) Ali Najah Ahmed et al.   JOURNAL OF HYDROLOGY

Least square support vector machine and multivariate adaptive regression splines for streamflow prediction in mountainous basin using hydro-meteorological data as inputs

(2019) Rana Muhammad Adnan et al.   JOURNAL OF HYDROLOGY

Isotopic and chemical evidence for nitrate sources and transformation processes in a plateau lake basin in Southwest China

(2019) Yajun Wang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Nitrate sources and processes in the surface water of a tropical reservoir by stable isotopes and mixing model

(2019) Widad Fadhullah et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Comparative analysis of surface water quality prediction performance and identification of key water parameters using different machine learning models based on big data

(2019) Kangyang Chen et al.   WATER RESEARCH

Quantification of nitrate fate in a karst conduit using stable isotopes and numerical modeling

(2019) Admin Husic et al.   WATER RESEARCH

Prediction of Algal Chlorophyll-a and Water Clarity in Monsoon-Region Reservoir Using Machine Learning Approaches

(2019) Md Mamun et al.   Water

Review on landslide susceptibility mapping using support vector machines

(2018) Yu Huang et al.   CATENA

Forecasting riverine total nitrogen loads using wavelet analysis and support vector regression combination model in an agricultural watershed

(2018) Xiaoliang Ji et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Comparison of prediction methods for oxygen-18 isotope composition in shallow groundwater

(2018) Sonja Cerar et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Preferential accumulation of small (

(2018) Zhenfeng Wang et al.   WATER RESEARCH

Tracing the sources of nitrate in the rivers and lakes of the southern areas of the Tibetan Plateau using dual nitrate isotopes

(2018) Mingming Hu et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A comprehensive risk assessment of metals in riverine surface sediments across the rural-urban interface of a rapidly developing watershed

(2018) Zhenfeng Wang et al.   ENVIRONMENTAL POLLUTION

Quantitative identification of nitrate pollution sources and uncertainty analysis based on dual isotope approach in an agricultural watershed

(2017) Xiaoliang Ji et al.   ENVIRONMENTAL POLLUTION

Prediction of dissolved oxygen concentration in hypoxic river systems using support vector machine: a case study of Wen-Rui Tang River, China

(2017) Xiaoliang Ji et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

A novel single-parameter approach for forecasting algal blooms

(2017) Xi Xiao et al.   WATER RESEARCH

A principle component analysis-based random forest with the potential nearest neighbor method for automobile insurance fraud identification

(2017) Yaqi Li et al.   APPLIED SOFT COMPUTING

A comparison between wavelet based static and dynamic neural network approaches for runoff prediction

(2016) Muhammad Shoaib et al.   JOURNAL OF HYDROLOGY

Application of least square support vector machine and multivariate adaptive regression spline models in long term prediction of river water pollution

(2016) Ozgur Kisi et al.   JOURNAL OF HYDROLOGY

Stream-flow forecasting using extreme learning machines: A case study in a semi-arid region in Iraq

(2016) Zaher Mundher Yaseen et al.   JOURNAL OF HYDROLOGY

Uncertainty analysis of support vector machine for online prediction of five-day biochemical oxygen demand

(2015) Roohollah Noori et al.   JOURNAL OF HYDROLOGY

Support vector machine applications in the field of hydrology: A review

(2014) Sujay Raghavendra. N et al.   APPLIED SOFT COMPUTING

Prediction of water quality index in constructed wetlands using support vector machine

(2014) Reza Mohammadpour et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Modelling of dissolved oxygen content using artificial neural networks: Danube River, North Serbia, case study

(2013) Davor Antanasijević et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Support vector machines in water quality management

(2011) Kunwar P. Singh et al.   ANALYTICA CHIMICA ACTA

Isotopes for improved management of nitrate pollution in aqueous resources: review of surface water field studies

(2011) Angelika Nestler et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Nitrate in Groundwater of the United States, 1991−2003

(2010) Karen R. Burow et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Support vector machines in remote sensing: A review

(2010) Giorgos Mountrakis et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A comparative study of artificial neural networks and support vector machines for predicting groundwater levels in a coastal aquifer

(2010) Heesung Yoon et al.   JOURNAL OF HYDROLOGY

Present limitations and future prospects of stable isotope methods for nitrate source identification in surface- and groundwater

(2009) Dongmei Xue et al.   WATER RESEARCH

Parameter determination of support vector machine and feature selection using simulated annealing approach

(2007) Shih-Wei Lin et al.   APPLIED SOFT COMPUTING

Regional flood frequency analysis at ungauged sites using the adaptive neuro-fuzzy inference system

(2007) C. Shu et al.   JOURNAL OF HYDROLOGY